Statistical Methods and Tools
for the “Information Factories” of Official Statistics

National statistical offices have to produce quality official statistics on nearly all aspects of a modern society. Alongside them, international organisations, central banks and specialised research institutes have also the mission to produce and deliver high quality statistical information. But in a modern state all administrative entities collect, exchange and process data which can be exploited in order to produce and deliver meaningful statistical information. Our mission is to assist these “information factories” to deliver quality statistics to their information consumers: from government and policy makers to the general public.

We assist these organisations in all stages of this demanding information production process; we design and develop with them the specialised information systems and software tools they need for streamlined data intensive processes, from data collection to automated data exchange and dissemination; and from statistical data warehouses to data visualisation; we elaborate with them the statistical methods they need to validate and analyse their data, to manage metadata and to ensure data quality.

In short, we help them organise and effectively manage the entire data-to-information life-cycle.

During almost twenty years, we have created integrated statistical information systems, such as the one allowing economists from OECD, Eurostat and 37 countries to compare purchasing power in different economies; we have implemented a novel software infrastructure enabling governments and organisations to exchange data implementing the SDMX international standard and we have assisted and trained organisations word-wide to implement it; we devised statistical methods and tools for complex problems ranging from distributed sampling techniques to the usage of Big Data for official Statistics. But what makes us proud is that we managed to make the everyday work of people working in these information factories just a bit easier.

Methods and Analytics

SDMX Data Exchange

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